Class/Object

axle.ml

NaiveBayesClassifier

Related Docs: object NaiveBayesClassifier | package ml

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case class NaiveBayesClassifier[DATA, FEATURE, CLASS, F, G, N](data: F, featureRandomVariables: List[Distribution[FEATURE, N]], classRandomVariable: Distribution[CLASS, N], featureExtractor: (DATA) ⇒ List[FEATURE], classExtractor: (DATA) ⇒ CLASS)(implicit evidence$1: Order[FEATURE], evidence$2: Order[CLASS], evidence$3: Eq[CLASS], evidence$4: Field[N], evidence$5: Order[N], agg: Aggregatable[F, DATA, Map[(CLASS, String, FEATURE), N]], functor: Functor[F, DATA, CLASS, G], tal: Talliable[G, CLASS, N]) extends (DATA) ⇒ CLASS with Product with Serializable

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Serializable, Serializable, Product, Equals, (DATA) ⇒ CLASS, AnyRef, Any
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  1. NaiveBayesClassifier
  2. Serializable
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  4. Product
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Visibility
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Instance Constructors

  1. new NaiveBayesClassifier(data: F, featureRandomVariables: List[Distribution[FEATURE, N]], classRandomVariable: Distribution[CLASS, N], featureExtractor: (DATA) ⇒ List[FEATURE], classExtractor: (DATA) ⇒ CLASS)(implicit arg0: Order[FEATURE], arg1: Order[CLASS], arg2: Eq[CLASS], arg3: Field[N], arg4: Order[N], agg: Aggregatable[F, DATA, Map[(CLASS, String, FEATURE), N]], functor: Functor[F, DATA, CLASS, G], tal: Talliable[G, CLASS, N])

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. val C: TallyDistribution0[CLASS, N]

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  5. val Fs: List[TallyDistribution1[FEATURE, CLASS, N]]

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  6. def andThen[A](g: (CLASS) ⇒ A): (DATA) ⇒ A

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    Definition Classes
    Function1
    Annotations
    @unspecialized()

  7. def apply(d: DATA): CLASS

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    Definition Classes
    NaiveBayesClassifier → Function1

  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  9. val classExtractor: (DATA) ⇒ CLASS

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  10. val classRandomVariable: Distribution[CLASS, N]

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  11. val classTally: Map[CLASS, N]

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  12. def classes: IndexedSeq[CLASS]

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  13. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  14. def compose[A](g: (A) ⇒ DATA): (A) ⇒ CLASS

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    Definition Classes
    Function1
    Annotations
    @unspecialized()

  15. val data: F

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  16. val emptyFeatureTally: Map[(CLASS, String, FEATURE), N]

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  17. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  18. val featureExtractor: (DATA) ⇒ List[FEATURE]

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  19. val featureNames: List[String]

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  20. val featureRandomVariables: List[Distribution[FEATURE, N]]

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  21. val featureTally: Map[(CLASS, String, FEATURE), N]

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  22. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  23. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  24. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  25. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  26. final def notify(): Unit

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    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  28. val numFeatures: Int

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  29. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  30. def tallyFor(featureRandomVariable: Distribution[FEATURE, N]): Map[(FEATURE, CLASS), N]

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  31. def toString(): String

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    Definition Classes
    Function1 → AnyRef → Any

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from (DATA) ⇒ CLASS

Inherited from AnyRef

Inherited from Any

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